Lidar
Showing 13 of 13 projects
An open-source, high-performance platform for developing, testing, and deploying autonomous vehicles.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A free, open-source WebGL-based point cloud renderer for visualizing massive datasets directly in web browsers.
A curated list of open-source geospatial analysis tools, libraries, and resources across multiple programming languages and domains.
A multi-sensor calibration toolbox for autonomous driving, supporting IMU, LiDAR, camera, and radar calibration.
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A lightweight, ground-optimized lidar odometry and mapping system for ROS-compatible unmanned ground vehicles.
A clean, simplified implementation of the LOAM algorithm for real-time LiDAR odometry and mapping using Eigen and Ceres Solver.
A ROS package for real-time 6DOF SLAM using 3D LIDAR, featuring graph-based optimization with multiple sensor constraints.
A modular C++ library implementing the Iterative Closest Point (ICP) algorithm for aligning 2D and 3D point clouds in robotics and computer vision.
A realtime LiDAR odometry and mapping (LOAM) method for state estimation and mapping using 3D lidar sensors like Velodyne VLP16.
A ROS package for extrinsic calibration between LiDAR and camera sensors using 3D-3D point correspondences.
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